Overview

Dataset statistics

Number of variables16
Number of observations191999
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.4 MiB
Average record size in memory128.0 B

Variable types

NUM16

Warnings

df_index has unique values Unique

Reproduction

Analysis started2021-01-04 06:41:47.727420
Analysis finished2021-01-04 06:42:55.541725
Duration1 minute and 7.81 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct191999
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149986.3649
Minimum3
Maximum299997
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:55.670754image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15059.9
Q175177.5
median149913
Q3225004
95-th percentile285012.1
Maximum299997
Range299994
Interquartile range (IQR)149826.5

Descriptive statistics

Standard deviation86573.73748
Coefficient of variation (CV)0.5772107189
Kurtosis-1.198451843
Mean149986.3649
Median Absolute Deviation (MAD)74927
Skewness0.000987005762
Sum2.879723207e+10
Variance7495012022
MonotocityNot monotonic
2021-01-04T17:42:55.783884image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2641911< 0.1%
 
2907821< 0.1%
 
1239261< 0.1%
 
1300691< 0.1%
 
1280201< 0.1%
 
1177791< 0.1%
 
1218731< 0.1%
 
1198241< 0.1%
 
747661< 0.1%
 
728151< 0.1%
 
Other values (191989)191989> 99.9%
 
ValueCountFrequency (%) 
31< 0.1%
 
41< 0.1%
 
51< 0.1%
 
61< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
2999971< 0.1%
 
2999961< 0.1%
 
2999941< 0.1%
 
2999931< 0.1%
 
2999921< 0.1%
 

cont1
Real number (ℝ)

Distinct191932
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5069980892
Minimum-0.0772377364
Maximum1.016227417
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:55.979931image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.0772377364
5-th percentile0.2425533375
Q10.3430743825
median0.4840075201
Q30.6437210525
95-th percentile0.9213973238
Maximum1.016227417
Range1.093465153
Interquartile range (IQR)0.30064667

Descriptive statistics

Standard deviation0.2040376985
Coefficient of variation (CV)0.4024427366
Kurtosis-0.253791377
Mean0.5069980892
Median Absolute Deviation (MAD)0.1483334701
Skewness0.529217153
Sum97343.12614
Variance0.04163138239
MonotocityNot monotonic
2021-01-04T17:42:56.085954image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.92775854192< 0.1%
 
0.5006791352< 0.1%
 
0.73209073472< 0.1%
 
0.27223982992< 0.1%
 
0.67838054182< 0.1%
 
0.3063884332< 0.1%
 
0.95122139512< 0.1%
 
0.33188821342< 0.1%
 
0.40647335612< 0.1%
 
0.5260298682< 0.1%
 
Other values (191922)191979> 99.9%
 
ValueCountFrequency (%) 
-0.07723773641< 0.1%
 
-0.059947855441< 0.1%
 
-0.058868885921< 0.1%
 
-0.056880459661< 0.1%
 
-0.052911124151< 0.1%
 
ValueCountFrequency (%) 
1.0162274171< 0.1%
 
1.0156984831< 0.1%
 
1.0151871561< 0.1%
 
1.015003651< 0.1%
 
1.01464381< 0.1%
 

cont2
Real number (ℝ)

Distinct191954
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4977385103
Minimum-0.02439847272
Maximum0.8596967694
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:56.270996image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02439847272
5-th percentile0.1185537486
Q10.3235349334
median0.5530480263
Q30.7313908071
95-th percentile0.8056819015
Maximum0.8596967694
Range0.8840952421
Interquartile range (IQR)0.4078558737

Descriptive statistics

Standard deviation0.2280249762
Coefficient of variation (CV)0.4581220289
Kurtosis-1.180319263
Mean0.4977385103
Median Absolute Deviation (MAD)0.1938856682
Skewness-0.2456723641
Sum95565.29624
Variance0.05199538977
MonotocityNot monotonic
2021-01-04T17:42:56.373019image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.61847904242< 0.1%
 
0.81324702172< 0.1%
 
0.79257532822< 0.1%
 
0.35467005582< 0.1%
 
0.42409626612< 0.1%
 
0.55539202832< 0.1%
 
0.13827823582< 0.1%
 
0.61736034612< 0.1%
 
0.77121659072< 0.1%
 
0.42094665522< 0.1%
 
Other values (191944)191979> 99.9%
 
ValueCountFrequency (%) 
-0.024398472721< 0.1%
 
-0.023066260971< 0.1%
 
-0.021603147651< 0.1%
 
-0.019787587391< 0.1%
 
-0.017664311011< 0.1%
 
ValueCountFrequency (%) 
0.85969676941< 0.1%
 
0.85502046041< 0.1%
 
0.8519901871< 0.1%
 
0.85158390111< 0.1%
 
0.85123221< 0.1%
 

cont3
Real number (ℝ≥0)

Distinct191901
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5214613256
Minimum0.02633104662
Maximum1.001680631
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:56.561737image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.02633104662
5-th percentile0.2154005336
Q10.3437834548
median0.5514549825
Q30.6484358932
95-th percentile0.8768418338
Maximum1.001680631
Range0.9753495841
Interquartile range (IQR)0.3046524384

Descriptive statistics

Standard deviation0.2008285339
Coefficient of variation (CV)0.3851264207
Kurtosis-0.6719893253
Mean0.5214613256
Median Absolute Deviation (MAD)0.1414877587
Skewness0.008985126281
Sum100120.053
Variance0.04033210001
MonotocityNot monotonic
2021-01-04T17:42:56.684763image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.7191379442< 0.1%
 
0.58967214152< 0.1%
 
0.73661498612< 0.1%
 
0.55925592962< 0.1%
 
0.58723268832< 0.1%
 
0.63501804862< 0.1%
 
0.35207899282< 0.1%
 
0.5743904422< 0.1%
 
0.2528337552< 0.1%
 
0.23321642232< 0.1%
 
Other values (191891)191979> 99.9%
 
ValueCountFrequency (%) 
0.026331046621< 0.1%
 
0.040825864291< 0.1%
 
0.041161670881< 0.1%
 
0.041488534541< 0.1%
 
0.041948932241< 0.1%
 
ValueCountFrequency (%) 
1.0016806311< 0.1%
 
0.99990524911< 0.1%
 
0.99720855191< 0.1%
 
0.99395354611< 0.1%
 
0.99254783271< 0.1%
 

cont4
Real number (ℝ≥0)

Distinct191947
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5158423607
Minimum0.1527614227
Maximum1.010402194
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:56.899812image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.1527614227
5-th percentile0.2085571283
Q10.2951874616
median0.4828783062
Q30.7486932081
95-th percentile0.8796948353
Maximum1.010402194
Range0.8576407717
Interquartile range (IQR)0.4535057465

Descriptive statistics

Standard deviation0.2328196601
Coefficient of variation (CV)0.4513387768
Kurtosis-1.334708886
Mean0.5158423607
Median Absolute Deviation (MAD)0.2109355122
Skewness0.24985909
Sum99041.21741
Variance0.05420499413
MonotocityNot monotonic
2021-01-04T17:42:57.008836image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.59655751612< 0.1%
 
0.26185711312< 0.1%
 
0.48748501162< 0.1%
 
0.22184881242< 0.1%
 
0.55940343762< 0.1%
 
0.3267191612< 0.1%
 
0.68728246322< 0.1%
 
0.74338807522< 0.1%
 
0.21094141922< 0.1%
 
0.30515721882< 0.1%
 
Other values (191937)191979> 99.9%
 
ValueCountFrequency (%) 
0.15276142271< 0.1%
 
0.1545479321< 0.1%
 
0.15541367071< 0.1%
 
0.1580090871< 0.1%
 
0.15859852271< 0.1%
 
ValueCountFrequency (%) 
1.0104021941< 0.1%
 
1.0089331631< 0.1%
 
0.99432149831< 0.1%
 
0.99319008761< 0.1%
 
0.99238177921< 0.1%
 

cont5
Real number (ℝ≥0)

Distinct191894
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5018894439
Minimum0.276466636
Maximum1.034046059
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:57.180875image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.276466636
5-th percentile0.2811826602
Q10.284105782
median0.4514819209
Q30.6707638508
95-th percentile0.9267664069
Maximum1.034046059
Range0.7575794228
Interquartile range (IQR)0.3866580688

Descriptive statistics

Standard deviation0.2206745866
Coefficient of variation (CV)0.4396876429
Kurtosis-0.8880276512
Mean0.5018894439
Median Absolute Deviation (MAD)0.1682426621
Skewness0.6109154515
Sum96362.27134
Variance0.04869727317
MonotocityNot monotonic
2021-01-04T17:42:57.281898image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.28329693553< 0.1%
 
0.28357585662< 0.1%
 
0.28459620962< 0.1%
 
0.28163989682< 0.1%
 
0.62104339622< 0.1%
 
0.46412115572< 0.1%
 
0.28278495862< 0.1%
 
0.53407879072< 0.1%
 
0.31028935552< 0.1%
 
0.67784761292< 0.1%
 
Other values (191884)191978> 99.9%
 
ValueCountFrequency (%) 
0.2764666361< 0.1%
 
0.276822031< 0.1%
 
0.27682203311< 0.1%
 
0.27683805091< 0.1%
 
0.27685709791< 0.1%
 
ValueCountFrequency (%) 
1.0340460591< 0.1%
 
1.0338335261< 0.1%
 
1.0337107061< 0.1%
 
1.0337081311< 0.1%
 
1.0334247141< 0.1%
 

cont6
Real number (ℝ≥0)

Distinct191925
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52649198
Minimum0.08370428319
Maximum1.04385773
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:57.460937image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.08370428319
5-th percentile0.2392929651
Q10.3561947131
median0.4710414137
Q30.6927308641
95-th percentile0.9309038806
Maximum1.04385773
Range0.9601534467
Interquartile range (IQR)0.336536151

Descriptive statistics

Standard deviation0.2176903077
Coefficient of variation (CV)0.4134731695
Kurtosis-0.7962988333
Mean0.52649198
Median Absolute Deviation (MAD)0.1438433365
Skewness0.5396842124
Sum101085.9337
Variance0.04738907006
MonotocityNot monotonic
2021-01-04T17:42:57.562960image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.47312244992< 0.1%
 
0.33847513082< 0.1%
 
0.38375498612< 0.1%
 
0.87051223032< 0.1%
 
0.35848440012< 0.1%
 
0.3695721362< 0.1%
 
0.61975174872< 0.1%
 
0.34133883912< 0.1%
 
0.44576592832< 0.1%
 
0.47486711912< 0.1%
 
Other values (191915)191979> 99.9%
 
ValueCountFrequency (%) 
0.083704283191< 0.1%
 
0.086759416381< 0.1%
 
0.091488968241< 0.1%
 
0.094241258761< 0.1%
 
0.095155605251< 0.1%
 
ValueCountFrequency (%) 
1.043857731< 0.1%
 
1.043470331< 0.1%
 
1.0412271621< 0.1%
 
1.0408298631< 0.1%
 
1.0404480791< 0.1%
 

cont7
Real number (ℝ)

Distinct191942
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4881238923
Minimum-0.02662825428
Maximum1.066167475
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:57.737999image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02662825428
5-th percentile0.2478843469
Q10.346644934
median0.4667536635
Q30.5817251216
95-th percentile0.8380939163
Maximum1.066167475
Range1.092795729
Interquartile range (IQR)0.2350801876

Descriptive statistics

Standard deviation0.1812230082
Coefficient of variation (CV)0.3712643676
Kurtosis-0.007671830997
Mean0.4881238923
Median Absolute Deviation (MAD)0.1180679288
Skewness0.7047923942
Sum93719.29919
Variance0.03284177869
MonotocityNot monotonic
2021-01-04T17:42:57.844023image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.80467643972< 0.1%
 
0.230634272< 0.1%
 
0.32817786752< 0.1%
 
0.55843650822< 0.1%
 
0.49113802062< 0.1%
 
0.36359582232< 0.1%
 
0.54885237722< 0.1%
 
0.39923800992< 0.1%
 
0.57112902532< 0.1%
 
0.49247989652< 0.1%
 
Other values (191932)191979> 99.9%
 
ValueCountFrequency (%) 
-0.026628254281< 0.1%
 
-0.010400999991< 0.1%
 
-0.005214759111< 0.1%
 
-0.0038178426461< 0.1%
 
-0.00014678826691< 0.1%
 
ValueCountFrequency (%) 
1.0661674751< 0.1%
 
1.0627920531< 0.1%
 
1.0530178091< 0.1%
 
1.0520119641< 0.1%
 
1.0515636251< 0.1%
 

cont8
Real number (ℝ≥0)

Distinct191925
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5253613514
Minimum0.217724688
Maximum1.024427233
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:58.023063image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.217724688
5-th percentile0.2674739869
Q10.3417202679
median0.483281477
Q30.6859942716
95-th percentile0.9387631854
Maximum1.024427233
Range0.8067025454
Interquartile range (IQR)0.3442740037

Descriptive statistics

Standard deviation0.2162842117
Coefficient of variation (CV)0.4116865681
Kurtosis-0.8801151593
Mean0.5253613514
Median Absolute Deviation (MAD)0.1597480095
Skewness0.5687498125
Sum100868.8541
Variance0.04677886025
MonotocityNot monotonic
2021-01-04T17:42:58.131087image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.36743084112< 0.1%
 
0.52897610542< 0.1%
 
0.3649048692< 0.1%
 
0.29484319852< 0.1%
 
0.77527554732< 0.1%
 
0.51979293792< 0.1%
 
0.55124338472< 0.1%
 
0.32732218372< 0.1%
 
0.4093275522< 0.1%
 
0.56755857672< 0.1%
 
Other values (191915)191979> 99.9%
 
ValueCountFrequency (%) 
0.2177246881< 0.1%
 
0.21963825141< 0.1%
 
0.22037849121< 0.1%
 
0.2206713991< 0.1%
 
0.22086711421< 0.1%
 
ValueCountFrequency (%) 
1.0244272331< 0.1%
 
1.0235683271< 0.1%
 
1.0234690811< 0.1%
 
1.0234562041< 0.1%
 
1.0223795591< 0.1%
 

cont9
Real number (ℝ)

Distinct191860
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4600071375
Minimum-0.2406041917
Maximum1.004114099
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:58.310127image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2406041917
5-th percentile0.1823724114
Q10.3311013915
median0.417074319
Q30.5750546737
95-th percentile0.8897530165
Maximum1.004114099
Range1.244718291
Interquartile range (IQR)0.2439532822

Descriptive statistics

Standard deviation0.1965048864
Coefficient of variation (CV)0.4271779073
Kurtosis0.1962901321
Mean0.4600071375
Median Absolute Deviation (MAD)0.1125529243
Skewness0.7955315128
Sum88320.9104
Variance0.03861417036
MonotocityNot monotonic
2021-01-04T17:42:58.433661image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.40108386672< 0.1%
 
0.29011167372< 0.1%
 
0.35418885732< 0.1%
 
0.34202274172< 0.1%
 
0.40828232912< 0.1%
 
0.42161332532< 0.1%
 
0.88161007652< 0.1%
 
0.40661010762< 0.1%
 
0.28047775242< 0.1%
 
0.40579594772< 0.1%
 
Other values (191850)191979> 99.9%
 
ValueCountFrequency (%) 
-0.24060419171< 0.1%
 
-0.23075443461< 0.1%
 
-0.22789217951< 0.1%
 
-0.22224673781< 0.1%
 
-0.20114834321< 0.1%
 
ValueCountFrequency (%) 
1.0041140991< 0.1%
 
1.0003219411< 0.1%
 
0.99527631851< 0.1%
 
0.98674660651< 0.1%
 
0.98529202741< 0.1%
 

cont10
Real number (ℝ)

Distinct191949
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5207123265
Minimum-0.0661418739
Maximum1.199951392
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:58.616701image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.0661418739
5-th percentile0.232799163
Q10.3756432601
median0.4591201337
Q30.699912018
95-th percentile0.8452766178
Maximum1.199951392
Range1.266093266
Interquartile range (IQR)0.3242687579

Descriptive statistics

Standard deviation0.2017947974
Coefficient of variation (CV)0.3875360485
Kurtosis-1.049722306
Mean0.5207123265
Median Absolute Deviation (MAD)0.1361482607
Skewness0.3637176888
Sum99976.24597
Variance0.04072114025
MonotocityNot monotonic
2021-01-04T17:42:58.726726image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.27202596712< 0.1%
 
0.75175867082< 0.1%
 
0.85096222412< 0.1%
 
0.41440385762< 0.1%
 
0.19666518622< 0.1%
 
0.85156706182< 0.1%
 
0.41766568932< 0.1%
 
0.8422414112< 0.1%
 
0.52383729682< 0.1%
 
0.85404942532< 0.1%
 
Other values (191939)191979> 99.9%
 
ValueCountFrequency (%) 
-0.06614187391< 0.1%
 
-0.060353227511< 0.1%
 
-0.058997915871< 0.1%
 
-0.039736895571< 0.1%
 
-0.025963132791< 0.1%
 
ValueCountFrequency (%) 
1.1999513921< 0.1%
 
1.18384591< 0.1%
 
1.140689491< 0.1%
 
1.1350189781< 0.1%
 
1.1320985931< 0.1%
 

cont11
Real number (ℝ≥0)

Distinct191952
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4842885649
Minimum0.08433134038
Maximum1.018950116
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:58.910767image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.08433134038
5-th percentile0.1895207332
Q10.3007744524
median0.4420706203
Q30.679870759
95-th percentile0.8719075276
Maximum1.018950116
Range0.934618776
Interquartile range (IQR)0.3790963066

Descriptive statistics

Standard deviation0.2201071506
Coefficient of variation (CV)0.4544958657
Kurtosis-0.9534496898
Mean0.4842885649
Median Absolute Deviation (MAD)0.1711969339
Skewness0.42007538
Sum92982.92018
Variance0.04844715774
MonotocityNot monotonic
2021-01-04T17:42:59.017792image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6923691242< 0.1%
 
0.26190052332< 0.1%
 
0.14609268052< 0.1%
 
0.22801532662< 0.1%
 
0.31778892942< 0.1%
 
0.62158847592< 0.1%
 
0.49390777092< 0.1%
 
0.31650119482< 0.1%
 
0.30809622442< 0.1%
 
0.3132338512< 0.1%
 
Other values (191942)191979> 99.9%
 
ValueCountFrequency (%) 
0.084331340381< 0.1%
 
0.084640284911< 0.1%
 
0.085800546811< 0.1%
 
0.085993654791< 0.1%
 
0.086751395681< 0.1%
 
ValueCountFrequency (%) 
1.0189501161< 0.1%
 
1.0155064371< 0.1%
 
1.0154102911< 0.1%
 
1.0153415391< 0.1%
 
1.0148966581< 0.1%
 

cont12
Real number (ℝ≥0)

Distinct191949
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5070251814
Minimum0.09257488311
Maximum1.049025484
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:59.202832image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.09257488311
5-th percentile0.2147076828
Q10.3103341565
median0.4863166087
Q30.6945827427
95-th percentile0.8675507076
Maximum1.049025484
Range0.9564506011
Interquartile range (IQR)0.3842485863

Descriptive statistics

Standard deviation0.2190652928
Coefficient of variation (CV)0.4320599861
Kurtosis-1.131064443
Mean0.5070251814
Median Absolute Deviation (MAD)0.1902720991
Skewness0.2842290755
Sum97348.32781
Variance0.04798960252
MonotocityNot monotonic
2021-01-04T17:42:59.320859image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.36147420822< 0.1%
 
0.62064710942< 0.1%
 
0.3474161142< 0.1%
 
0.37819836492< 0.1%
 
0.26907675962< 0.1%
 
0.37057725892< 0.1%
 
0.3843659212< 0.1%
 
0.21823140892< 0.1%
 
0.30622899912< 0.1%
 
0.85128645982< 0.1%
 
Other values (191939)191979> 99.9%
 
ValueCountFrequency (%) 
0.092574883111< 0.1%
 
0.094158241581< 0.1%
 
0.096794530851< 0.1%
 
0.098589614781< 0.1%
 
0.099497921331< 0.1%
 
ValueCountFrequency (%) 
1.0490254841< 0.1%
 
1.045412261< 0.1%
 
1.0452966581< 0.1%
 
1.0450738511< 0.1%
 
1.0445486811< 0.1%
 

cont13
Real number (ℝ≥0)

Distinct191877
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5535291333
Minimum0.04473594955
Maximum0.9773809684
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:59.494897image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.04473594955
5-th percentile0.2811843253
Q10.3504923733
median0.4879974987
Q30.7688699353
95-th percentile0.924143009
Maximum0.9773809684
Range0.9326450188
Interquartile range (IQR)0.4183775619

Descriptive statistics

Standard deviation0.229773192
Coefficient of variation (CV)0.4151058693
Kurtosis-1.388041819
Mean0.5535291333
Median Absolute Deviation (MAD)0.164070737
Skewness0.3197450849
Sum106277.0401
Variance0.05279571978
MonotocityNot monotonic
2021-01-04T17:42:59.619925image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.36115175452< 0.1%
 
0.64679786612< 0.1%
 
0.32520975352< 0.1%
 
0.92710371392< 0.1%
 
0.92490061982< 0.1%
 
0.35937847292< 0.1%
 
0.95053509182< 0.1%
 
0.36524590722< 0.1%
 
0.36812600952< 0.1%
 
0.3329659762< 0.1%
 
Other values (191867)191979> 99.9%
 
ValueCountFrequency (%) 
0.044735949551< 0.1%
 
0.045643829111< 0.1%
 
0.047251524741< 0.1%
 
0.049740546131< 0.1%
 
0.053568930991< 0.1%
 
ValueCountFrequency (%) 
0.97738096841< 0.1%
 
0.97731320531< 0.1%
 
0.9771411021< 0.1%
 
0.97713029371< 0.1%
 
0.97686305081< 0.1%
 

cont14
Real number (ℝ≥0)

Distinct191942
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5034449254
Minimum0.1663674107
Maximum0.8679922751
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:42:59.811969image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.1663674107
5-th percentile0.2308288247
Q10.3085725674
median0.4312459745
Q30.712641399
95-th percentile0.830087494
Maximum0.8679922751
Range0.7016248644
Interquartile range (IQR)0.4040688315

Descriptive statistics

Standard deviation0.2083107828
Coefficient of variation (CV)0.4137707469
Kurtosis-1.42074272
Mean0.5034449254
Median Absolute Deviation (MAD)0.1711961511
Skewness0.2556455614
Sum96660.92223
Variance0.04339338224
MonotocityNot monotonic
2021-01-04T17:42:59.916992image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.30369510782< 0.1%
 
0.23824736352< 0.1%
 
0.7973094072< 0.1%
 
0.30849400542< 0.1%
 
0.23999704682< 0.1%
 
0.4443337792< 0.1%
 
0.40842440162< 0.1%
 
0.29836819622< 0.1%
 
0.84624207852< 0.1%
 
0.75125193562< 0.1%
 
Other values (191932)191979> 99.9%
 
ValueCountFrequency (%) 
0.16636741071< 0.1%
 
0.16997740631< 0.1%
 
0.17011166641< 0.1%
 
0.17051841111< 0.1%
 
0.1716414691< 0.1%
 
ValueCountFrequency (%) 
0.86799227511< 0.1%
 
0.8679363541< 0.1%
 
0.86782137051< 0.1%
 
0.86768278481< 0.1%
 
0.86764568221< 0.1%
 

target
Real number (ℝ≥0)

Distinct191915
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.908940925
Minimum4.256207381
Maximum10.2675685
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2021-01-04T17:43:00.106735image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum4.256207381
5-th percentile6.735121977
Q17.332500336
median7.94445265
Q38.472046585
95-th percentile9.027522506
Maximum10.2675685
Range6.011361119
Interquartile range (IQR)1.139546249

Descriptive statistics

Standard deviation0.7334940196
Coefficient of variation (CV)0.09274238188
Kurtosis-0.527331484
Mean7.908940925
Median Absolute Deviation (MAD)0.5607674511
Skewness-0.06866603911
Sum1518508.749
Variance0.5380134767
MonotocityNot monotonic
2021-01-04T17:43:00.212760image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7.9297556222< 0.1%
 
7.1163201382< 0.1%
 
7.6251736362< 0.1%
 
8.555973552< 0.1%
 
7.681768682< 0.1%
 
8.5582582222< 0.1%
 
7.8173567542< 0.1%
 
6.8216976442< 0.1%
 
8.5626296752< 0.1%
 
7.2859849142< 0.1%
 
Other values (191905)191979> 99.9%
 
ValueCountFrequency (%) 
4.2562073811< 0.1%
 
4.3463217871< 0.1%
 
4.4172086781< 0.1%
 
4.8210896181< 0.1%
 
4.8512469271< 0.1%
 
ValueCountFrequency (%) 
10.26756851< 0.1%
 
10.186179431< 0.1%
 
10.182292171< 0.1%
 
10.17971371< 0.1%
 
10.17272871< 0.1%
 

Interactions

2021-01-04T17:42:13.212723image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:13.373759image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:13.530793image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:13.680827image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:13.834862image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:13.989896image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:14.157934image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:14.320886image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:14.484922image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:14.666930image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:14.833925image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:15.013084image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:15.181120image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:15.346159image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:15.515195image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:15.688234image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:15.850271image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.012307image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.187371image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.337404image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.492443image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.655480image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.823828image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:16.977861image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:17.133897image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:17.297934image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:17.470972image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:17.624009image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:17.778043image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:17.934079image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:18.082112image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:18.235146image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:18.411555image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:18.566594image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:18.712626image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:18.856659image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.001691image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.145728image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.300032image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.441069image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.586100image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.733133image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:19.875165image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.019198image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.162229image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.303262image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.448300image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.621921image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.782956image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:20.935991image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:21.089719image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:21.237755image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:21.385788image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:21.537822image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:21.694858image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:21.862895image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.019930image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.182967image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.352007image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.520050image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.667084image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.816117image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:22.964149image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:23.116184image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:23.271219image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:23.425253image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:23.584289image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:23.728321image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:23.873353image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.016385image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.176421image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.327455image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.481490image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.633523image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.781557image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:24.929589image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:25.072622image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:25.216654image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:25.360686image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:25.527724image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:25.719766image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:25.936815image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:26.110855image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:26.260888image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:26.411922image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:26.563955image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:26.720990image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:26.874024image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.041071image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.210012image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.366047image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.525083image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.677117image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.835160image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:27.998197image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:28.167244image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:28.331281image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:28.487874image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:28.634907image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:28.780941image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:28.927974image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:29.074007image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:29.228040image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:29.384075image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:29.545113image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:29.694145image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:30.269273image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:30.426308image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:30.572341image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:30.716373image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:30.862406image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.010440image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.157475image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.307509image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.454542image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.600574image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.744607image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:31.885639image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.036672image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.179705image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.323737image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.474770image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.621804image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.769836image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:32.912868image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:33.055900image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:33.200933image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:33.349966image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:33.987051image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:34.624193image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:34.793231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:34.965270image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:35.466382image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:35.626418image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:35.784453image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:35.947490image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:36.113527image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:36.274563image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:36.430598image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:36.733665image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:36.883699image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.039735image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.188767image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.338801image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.497837image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.651871image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.805905image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:37.957939image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:38.112974image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:38.270009image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:38.430551image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:38.589586image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:38.750622image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:38.913659image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:39.078696image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:39.390766image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:39.704837image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:40.009905image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:40.161938image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:40.313972image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:40.463007image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:40.611038image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:40.762073image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:40.914107image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.069141image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.234178image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.387212image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.540246image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.688279image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.834313image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:41.990347image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:42.145382image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:42.299417image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:42.457453image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:42.606485image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:42.759520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:42.933558image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:43.106849image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:43.561960image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:45.727906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:45.875939image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:46.026973image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:46.500944image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:46.799016image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:47.696223image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:47.838255image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:48.134055image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:48.434302image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:48.750393image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:49.056470image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:52.888705image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:53.040747image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:53.189781image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-04T17:42:53.691086image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:53.879923image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Correlations

2021-01-04T17:43:00.316782image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-01-04T17:43:00.471817image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-01-04T17:43:00.626852image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-01-04T17:43:00.783887image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-01-04T17:42:54.398931image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-04T17:42:54.802021image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Sample

First rows

df_indexcont1cont2cont3cont4cont5cont6cont7cont8cont9cont10cont11cont12cont13cont14target
02465160.9887430.4212160.4864330.2544120.6676080.9596020.8611300.5801940.8757060.8207460.4851350.8276250.9454630.7381728.566379
1959560.8449310.3554460.5525680.2572680.2835260.7512830.6831180.9030720.5867860.8155170.5129630.5912880.8248980.4135237.757215
22509840.6638790.4192130.6908720.7080930.9555720.5839590.3947800.6370590.5834730.7093960.6970130.8083920.7582700.6327408.663471
31517660.2429940.4227240.5532230.8458550.5517180.3505340.2562660.6461430.4199350.7097610.2727960.2649330.3509420.5952728.617109
42524700.4780300.6803360.8777840.5639890.9479280.3771360.3854690.3564810.3549210.4479680.3949750.3028660.3591900.2619306.768849
52828210.2810970.4893760.5879050.5506100.8434300.2954490.2894080.2555460.3400820.3934860.2945840.3199590.3219040.2803127.973183
62320100.7183440.3593580.2800860.3557880.2830680.7455640.5724940.8844680.4505070.5112520.4875150.3998520.8035240.7491468.729735
71830540.3231520.4878970.6233830.1922090.3044950.2330380.3248750.2571750.3318920.2653370.2379060.1833330.3567130.3086717.412109
81751160.4800420.6803440.5462970.2552520.4476600.3828160.5403880.2901530.3393660.4975000.6131150.6882570.3562960.7125666.969876
9166700.6792650.6215120.7360130.7764320.2842640.8825070.7893300.3396800.5767930.7992880.8745250.9076660.8782280.7195178.657826

Last rows

df_indexcont1cont2cont3cont4cont5cont6cont7cont8cont9cont10cont11cont12cont13cont14target
1919892543910.2404720.3608520.2772960.7521200.5359710.4580830.4048070.9473840.9040040.4970750.4187520.3363070.6761910.6829687.534806
1919901172860.2579980.0580530.7385190.3466270.3157770.2329390.3342110.3028550.1639390.2842470.2546140.2286900.3750220.4437487.605477
1919912364720.3664990.8165980.9654260.2096100.2843250.5018340.7866800.2673410.4528870.4593970.4601700.4987330.2739010.2075048.462187
1919921809100.4515230.2060510.8828350.2305130.2821940.7730910.9440200.3229540.4770640.7634120.6907880.6992830.7668290.4108308.760469
191993505480.7928750.6206760.3474280.5047170.6762040.8644080.5220110.8180640.6676620.8735200.8933040.9824420.9393920.3952777.559880
191994573070.9130750.1624460.2429650.8855520.2846190.9389490.4564670.6740990.8860270.8036200.9658510.8750410.9044650.4355227.537581
1919952016110.5210590.3584830.6272780.2547240.2816180.5447260.9451370.2725370.4524440.6415330.6834330.5588780.3379720.3829918.259644
1919962543610.4170830.8183640.6381950.5741310.5630740.6351990.4966160.6247100.4293050.4697740.7576590.6986600.6856610.6726597.403454
191997538220.0509600.4891810.4716180.8305280.2812240.2546560.3151940.7644770.2074330.2086850.1957020.3200050.2730130.8047188.796392
1919982844800.2795460.6204630.6412110.9025210.6026820.2662510.2069950.6745870.2679600.2713180.2543090.2887330.3366960.2870418.443546